4 papers
Benchmarking Long Roll-outs of Auto-regressive Neural Operators for the Compressible Navier-Stokes Equations with Conserved Quantity Correction
Sean Current, Chandan Kumar, Datta Gaitonde +1
Deep learning has been proposed as an efficient alternative for the numerical approximation of PDE solutions, offering fast, iterative simulation of PDEs through the approximation…
DiffER: Categorical Diffusion for Chemical Retrosynthesis
Sean Current, Ziqi Chen, Daniel Adu-Ampratwum +2
Methods for automatic chemical retrosynthesis have found recent success through the application of models traditionally built for natural language processing, primarily through tra…
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation
Bo Peng, Ziqi Chen, Srinivasan Parthasarathy +1
Self-attention (SA) mechanisms have been widely used in developing sequential recommendation (SR) methods, and demonstrated state-of-the-art performance. However, in this paper, we…
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation
Bo Peng, Ben Burns, Ziqi Chen +2
In recent years, with large language models (LLMs) achieving state-of-the-art performance in context understanding, increasing efforts have been dedicated to developing LLM-enhance…